地理科学进展 ›› 2019, Vol. 38 ›› Issue (6): 861-871.doi: 10.18306/dlkxjz.2019.06.007

• 研究论文 • 上一篇    下一篇

农业产业集群创新通道及溢出效应——以山东寿光蔬菜产业集群为例

史焱文1(), 李二玲2, 李小建1,2, 任世鑫2   

  1. 1. 河南财经政法大学城乡协调发展河南省协同创新中心/河南省城乡空间数据挖掘院士工作站,郑州 450018
    2. 河南大学环境与规划学院/农业与农村可持续发展研究所,河南 开封 475004
  • 收稿日期:2018-12-11 修回日期:2019-03-06 出版日期:2019-06-28 发布日期:2019-06-27
  • 作者简介:

    第一作者简介:史焱文(1987— ),男,河南柘城人,博士,讲师,主要从事产业集群与创新发展、工业化与城乡发展研究。E-mail: shiyanwen8@126.com

  • 基金资助:
    国家自然科学基金项目(41701197);教育部人文社会科学研究青年基金项目(17YJC790125);河南省哲学社会科学规划项目(2018CJJ070,2017CJJ083);河南省高等学校重点科研项目(18A790007);河南省教育厅人文社会科学研究一般项目(2018-ZZJH-011)

Innovation pathways and spillover effects of agricultural industrial clusters: A case of vegetable production industrial cluster in Shouguang City, Shandong Province

Yanwen SHI1(), Erling LI2, Xiaojian LI1,2, Shixin REN2   

  1. 1. Collaborative Innovation Center of Urban-Rural Coordination / Academician Workstation for Urban-Rural Spatial Data Mining, Henan University of Economics and Law, Zhengzhou 450018, China
    2. College of Environment and Planning/Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng 475004, Henan, China
  • Received:2018-12-11 Revised:2019-03-06 Online:2019-06-28 Published:2019-06-27
  • Supported by:
    National Natural Sciences Foundation of China, No. 41701197;Youth Fund Project of Humanities and Social Sciences of the Ministry of Education, No. 17YJC790125;Philosophy and Social Sciences Planning Project of Henan Province, No. 2018CJJ070, No. 2017CJJ083;Key Scientific Research Projects of Universities of Henan Province, No. 18A790007;Humanities and Social Sciences Research Project of Henan Provincial Department of Education, No. 2018-ZZJH-011.

摘要:

农业产业集群创新是多种关系集聚作用的过程,而现代农业集群发展离不开地方与全球背景下的前后联系,因此研究地方与全球联系下的农业集群创新及其溢出效应具有重要的理论与现实意义。论文以山东寿光蔬菜产业集群为例,利用实地调研数据,运用社会网络分析法和空间计量模型分析集群创新联系的作用通道及溢出效应,研究表明:① 集群地方联系包含强关系的本地企业网络和弱关系的官产学研网络,其中本地企业网络集聚现象较突出,企业间联系紧密,两关系网络中核心企业对资源信息均具有较强控制作用;② 全球通道作为集群外部弱联系,网络联系密度较低,其网络整体显示出结构洞特征,且网络核心节点企业对海外异质性资源表现出较强控制性。在测度集群创新溢出效应方面,空间误差模型较其他模型更优,其中集群本地企业联系、企业间空间邻近、全球关系通道在集群创新中均会起到一定促进作用。进一步机理分析表明,地方联系和全球关系通道在集群创新中发挥着不同的作用,其强弱关系互动是异质性创新资源扩散、吸收与利用的关键。

关键词: 农业产业集群, 创新通道, 溢出效应, 社会网络, 寿光市

Abstract:

The innovation of agricultural industrial clusters is a process of integration of various relationships, while the development of modern agricultural clusters cannot be separated from the local and global contexts. Hence, it is of great theoretical and practical significance to study the innovation of agricultural clusters and its spillover effects with regard to the local and global network relationships. Taking the Shouguang Vegetable Production Industrial Cluster as an example and using field survey data obtained in 2017, and social network analysis and a spatial econometric model, this study analyzed the pathways and spillover effects of cluster innovation. The results show that: 1) The cluster's local connections include a strong local enterprise network and a weak government-industry-university-research network, in which the agglomeration of the local enterprises is prominent, and the enterprises are closely linked. The core enterprises in the two relationship networks have a strong control over resource and information. 2) As a weak link outside the cluster, the global network has a low density of network links. The network as a whole shows the characteristics of structural holes, and its core node enterprises show strong control over overseas resource heterogeneity. The spatial error model is better than other models in measuring the spillover effects of cluster innovation, in which the cluster's local enterprise relationship, inter-enterprise spatial proximity, and global relationship all play a certain role in promoting cluster innovation. Further mechanism analysis shows that local relationship links and global relationships play different roles in cluster innovation, and the interaction between strong and weak relationships is the key to the diffusion, absorption, and utilization of heterogeneous innovation resources.

Key words: agricultural industrial clusters, innovation pathways, spillover effects, social network, Shouguang City